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1
A Q-learning strategy for federation of 5G services:
, In:
ICC 2020 - 2020 IEEE International Conference on Communications (ICC)
,
Antevski, Kiril
;
Martin-Perez, Jorge
;
Garcia-Saavedra, Andres
... - p. 1-6 , 2020
Link:
https://doi.org/10.1109/ICC40277.2020.9149082
RT T1 <cTitle>ICC 2020 - 2020 IEEE International Conference on Communications (ICC)</cTitle>: T1 <Title>A Q-learning strategy for federation of 5G services</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9149082&Exemplar=1&LAN=DE A1 Antevski, Kiril A1 Martin-Perez, Jorge A1 Garcia-Saavedra, Andres A1 Bernardos, Carlos J. A1 Li, Xi A1 Baranda, Jorge A1 Mangues-Bafalluy, Josep A1 Martnez, Ricardo A1 Vettori, Luca YR 2020 SN 1938-1883 K1 Computer architecture K1 Industries K1 5G mobile communication K1 Heuristic algorithms K1 Optimization K1 Machine learning K1 Vehicle dynamics K1 multi-domain K1 federation K1 NFV K1 algorithms K1 machine-learning SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/ICC40277.2020.9149082 DO https://doi.org/10.1109/ICC40277.2020.9149082 SF ELIB - SuUB Bremen
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